Regret Bounds for Reinforcement Learning with Policy Advice - researchr publication related

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Mohammad Gheshlaghi Azar, Alessandro Lazaric, Emma Brunskill. Regret Bounds for Reinforcement Learning with Policy Advice. In Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I. Volume 8188 of Lecture Notes in Computer Science, pages 97-112, Springer, 2013. [doi]

The following publications are possibly variants of this publication:

Minimax Regret Bounds for Reinforcement LearningMohammad Gheshlaghi Azar, Ian Osband, Rémi Munos. icml 2017: 263-272 [doi]

Regret Bounds for Learning State Representations in Reinforcement LearningRonald Ortner, Matteo Pirotta, Alessandro Lazaric, Ronan Fruit, Odalric-Ambrym Maillard. nips 2019: 12717-12727 [doi]

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